Backend Engineer - Risk Control System

Job Responsibilities:

• Responsible for the design, development, and optimization of the company's risk control system to achieve efficient and stable risk monitoring and prevention mechanisms.
• Participate in building a real-time risk control engine, including the development of risk control rules, model calculations, anti-fraud detection, and other functionalities.
• Design and optimize data collection, cleaning, and computation processes to enhance data processing capabilities.
• Develop risk control strategy management tools based on business needs to improve the flexibility and adjustability of risk control strategies.
• Continuously monitor system performance, optimize system efficiency, and ensure high availability and low latency.

Job Requirements:

• Bachelor’s degree or higher in Computer Science, Software Engineering, Mathematics, Statistics, FinTech, or related fields.
• At least 1 year of backend development experience; experience in risk control systems, payment systems, or anti-fraud systems is preferred.
• Proficient in at least one backend programming language (e.g., Go, Python) with strong coding practices.
• Familiar with middleware such as MySQL, Kafka, Redis, and Elasticsearch.
• Strong teamwork, logical thinking, and problem-solving skills, with the ability to drive cross-department collaboration efficiently.

Preferred Qualifications (Bonus Points):

• Experience in developing risk control systems related to banking, or internet finance.
• Hands-on experience with big data or stream processing systems (e.g., Kafka, Flink, Spark, Hadoop).
• Practical experience in machine learning or statistical analysis, with familiarity in risk control rule engines and real-time computation technologies.
• Experience in risk control strategy design and data modeling, with the ability to support business teams in formulating risk control strategies.
• Experience in high-concurrency systems, with knowledge of distributed architectures and stream computing.